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Cloud Connectivity and Embedded Sensory Systems [electronic resource] / by Lambert Spaanenburg, Hendrik Spaanenburg.

By: Contributor(s): Publisher: New York, NY : Springer New York : Imprint: Springer, 2011Description: XXIII, 285 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781441975454
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.3815 23
LOC classification:
  • TK7888.4
Online resources:
Contents:
Introduction -- Ambient Intelligence Limitations -- Topological Considerations -- Software Infrastructure -- Network Safety and Security -- System Development -- Applications: Android-in-the-Cloud -- Wear-Free Transmission -- Body-Area Networks -- Patient Monitoring -- Environmental Monitoring -- Conclusion.
In: Springer eBooksSummary: Cloud Connectivity and Embedded Sensory Systems by: Lambert Spaanenburg Hendrik Spaanenburg Sensory systems are meant to create awareness in space and time. They may be measuring the presence of an object or a condition, characterizing an object stream or a situational pattern, or even detect abnormalities that are to occur. This book provides new theory on the design of wireless sensor networks, based on concepts developed for large-scale, distributed computing environments known as “clouds.” It provides a single-source entry into the world of intelligent sensory systems, with a step-by-step discussion of building case studies that capture the requirements, taking into account practical limitations of creating ambient intelligence. The reader will not only achieve a better understanding of sensory clouds, but is also guided by examples of how to design such networks, taking the typical characteristics of diverse application areas into account. •Offers readers a single-source entry into the world of cloud-centric, embedded intelligent sensory systems; •Presents sensory networks in the context of “cloud computing”; •Promotes the notion of migrating software on virtualized hardware; •Emphasizes the role of redundant network communication and computation to optimize safety and security; •Distinguishes between cloud, swarm and flock computing, in order to make the extended network more intelligent and therefore less dependent on the quality of the individual sensors.
Item type: eBooks
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Introduction -- Ambient Intelligence Limitations -- Topological Considerations -- Software Infrastructure -- Network Safety and Security -- System Development -- Applications: Android-in-the-Cloud -- Wear-Free Transmission -- Body-Area Networks -- Patient Monitoring -- Environmental Monitoring -- Conclusion.

Cloud Connectivity and Embedded Sensory Systems by: Lambert Spaanenburg Hendrik Spaanenburg Sensory systems are meant to create awareness in space and time. They may be measuring the presence of an object or a condition, characterizing an object stream or a situational pattern, or even detect abnormalities that are to occur. This book provides new theory on the design of wireless sensor networks, based on concepts developed for large-scale, distributed computing environments known as “clouds.” It provides a single-source entry into the world of intelligent sensory systems, with a step-by-step discussion of building case studies that capture the requirements, taking into account practical limitations of creating ambient intelligence. The reader will not only achieve a better understanding of sensory clouds, but is also guided by examples of how to design such networks, taking the typical characteristics of diverse application areas into account. •Offers readers a single-source entry into the world of cloud-centric, embedded intelligent sensory systems; •Presents sensory networks in the context of “cloud computing”; •Promotes the notion of migrating software on virtualized hardware; •Emphasizes the role of redundant network communication and computation to optimize safety and security; •Distinguishes between cloud, swarm and flock computing, in order to make the extended network more intelligent and therefore less dependent on the quality of the individual sensors.

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